Multi-level comprehensive judgment method for air quality data

Abstract

The invention discloses a multi-level comprehensive judgment method for air quality data. The method comprises the following steps: a, determining judgment factors according to the air quality data and establishing a judgment standard set by reference to national air quality standards; b, determining a degree of membership of two adjacent levels of each judgment factor to judgment standards according to the air quality data, and establishing a fuzzy relation matrix according to each degree of membership; c, according to the fuzzy relation matrix obtained by calculation, determining a weight of each judgment factor by utilizing an entropy method; d, according to the fuzzy relation matrix and the weight of each judgment factor, calculating a single-level judgment result; and e, according to the single-level judgment result, calculating a multi-level judgment result. The method greatly reduces the influence on the judgment result due to subjective factors such as the air quality data, human factors and the like, enables the judgment result to be more comprehensive, objective and real, and has an important significance for effectively reflecting regional air quality conditions.

Description

technical field [0001] The invention belongs to the technical fields of air pollution evaluation and prevention and environmental engineering, and in particular relates to a multi-level comprehensive evaluation method for air quality data. Background technique [0002] Air quality evaluation is an important part of air pollution prevention and control, and also an important aspect of environmental quality evaluation. Air quality evaluation refers to the qualitative or quantitative evaluation of air quality status with certain evaluation methods according to different purposes and needs, according to certain principles and evaluation criteria. With the acceleration of my country's industrial modernization process and urbanization process, factors such as unreasonable energy and industrial structure and the increase of urban motor vehicle ownership have made the urban air pollution situation increasingly severe. Therefore, a comprehensive and comprehensive analysis of the air ...

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Problems solved by technology

Guleda Onkal-Engin and others used the fuzzy comprehensive evaluation method to judge air quality in the international journal "Atmospheric Environment" No. 38, pages 3809-3815 "Assessment of urban air quality in Istanbul using fuzzysyntheticevaluation". The determination of the weight in this method depends on expert knowledge. This will cause the evaluation results to be biased due to human subjective factors.

In the entropy-based fuzzy comprehensive evaluation method proposed later, the determination of the relationship matrix depends on the sample value, resulting in the evaluation result changing with the change of the sample value.

In addition, the above-mentioned evaluation methods are single-level evaluation, which greatly reduces the effectiveness of the evaluation results, and cannot accurately judge the air quality data objectively and truly.

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